chr17.10827_chr17_79583206_79613222_+_2.R 

fitVsDatCorrelation=0.977403484239523
cont.fitVsDatCorrelation=0.251554211017023

fstatistic=10326.1400087161,52,692
cont.fstatistic=479.893479397519,52,692

residuals=-0.977768328160914,-0.0882484197279756,-0.00397449854046312,0.0895475936623972,0.877898473994917
cont.residuals=-1.15666743527140,-0.480803497440078,-0.230020215993388,0.180789511460109,2.11647735997469

predictedValues:
Include	Exclude	Both
chr17.10827_chr17_79583206_79613222_+_2.R.tl.Lung	80.9323182923575	87.5831494574267	74.0311966405189
chr17.10827_chr17_79583206_79613222_+_2.R.tl.cerebhem	98.61979887758	88.2090592170854	171.105624152536
chr17.10827_chr17_79583206_79613222_+_2.R.tl.cortex	77.068082731223	75.735685501001	70.6623003632227
chr17.10827_chr17_79583206_79613222_+_2.R.tl.heart	77.8390903979012	75.9772141685066	64.7282412991175
chr17.10827_chr17_79583206_79613222_+_2.R.tl.kidney	80.4021653491978	92.4184324133669	68.5185947072509
chr17.10827_chr17_79583206_79613222_+_2.R.tl.liver	81.6810393993592	91.515332236601	74.2987236615691
chr17.10827_chr17_79583206_79613222_+_2.R.tl.stomach	82.1342215479852	81.2925155692455	69.5049293404549
chr17.10827_chr17_79583206_79613222_+_2.R.tl.testicle	83.405610594625	77.0079073257884	71.3476992986661


diffExp=-6.6508311650692,10.4107396604946,1.332397230222,1.86187622939458,-12.0162670641691,-9.8342928372419,0.84170597873971,6.39770326883666
diffExpScore=5.70012612394563
diffExp1.5=0,0,0,0,0,0,0,0
diffExp1.5Score=0
diffExp1.4=0,0,0,0,0,0,0,0
diffExp1.4Score=0
diffExp1.3=0,0,0,0,0,0,0,0
diffExp1.3Score=0
diffExp1.2=0,0,0,0,0,0,0,0
diffExp1.2Score=0

cont.predictedValues:
Include	Exclude	Both
Lung	97.4843785107728	84.7105450024747	100.334924093788
cerebhem	80.5047211614999	80.1362239233687	113.234638121553
cortex	104.801495217796	98.518325573172	83.6844125827714
heart	92.2034052771663	80.4695181203877	62.9171172882068
kidney	85.358695357959	78.1754236910128	64.615850626294
liver	85.282357878419	80.5438399894849	117.592098987903
stomach	89.2087442947635	75.2961465871703	88.9833717219826
testicle	97.3475537307477	86.3289001021764	73.3967916685164
cont.diffExp=12.7738335082981,0.368497238131155,6.28316964462377,11.7338871567786,7.18327166694625,4.73851788893408,13.9125977075932,11.0186536285713
cont.diffExpScore=0.985509856375056

cont.diffExp1.5=0,0,0,0,0,0,0,0
cont.diffExp1.5Score=0
cont.diffExp1.4=0,0,0,0,0,0,0,0
cont.diffExp1.4Score=0
cont.diffExp1.3=0,0,0,0,0,0,0,0
cont.diffExp1.3Score=0
cont.diffExp1.2=0,0,0,0,0,0,0,0
cont.diffExp1.2Score=0

tran.correlation=0.348917246102769
cont.tran.correlation=0.81808159095182

tran.covariance=0.00238893170884026
cont.tran.covariance=0.00570389595224285

tran.mean=83.2388514424532
cont.tran.mean=87.2731421511482

weightedLogRatios:
wLogRatio
Lung	-0.350105887337848
cerebhem	0.505990115669966
cortex	0.0756182917582849
heart	0.105134034630266
kidney	-0.620750695922607
liver	-0.506995251863032
stomach	0.0453565465190628
testicle	0.349860937963954

cont.weightedLogRatios:
wLogRatio
Lung	0.633363772458801
cerebhem	0.0201223890160615
cortex	0.285705061113297
heart	0.6065360436009
kidney	0.387046504905538
liver	0.252524104855403
stomach	0.747072355719661
testicle	0.542743682677904

varWeightedLogRatios=0.163230803500791
cont.varWeightedLogRatios=0.0582538676405926

coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.02429185458312	0.0865184165669537	46.5137021025905	3.55781698758026e-215	***
df.mm.trans1	-0.270333661865881	0.076736844510741	-3.52286653939806	0.000454966843402639	***
df.mm.trans2	0.449901019853896	0.0699320035327072	6.43340669688488	2.3287551503553e-10	***
df.mm.exp2	-0.633014609344102	0.094323781951701	-6.71108172558475	4.02376356065799e-11	***
df.mm.exp3	-0.147688787836482	0.094323781951701	-1.56576406056435	0.117861015596566	   
df.mm.exp4	-0.0468356381620625	0.094323781951701	-0.496541139392025	0.61967035981246	   
df.mm.exp5	0.124547117957120	0.094323781951701	1.32042116399547	0.187130988784378	   
df.mm.exp6	0.0495193795031448	0.094323781951701	0.524993575093304	0.59975580832723	   
df.mm.exp7	0.00329576450983212	0.094323781951701	0.034940970788467	0.97213688674123	   
df.mm.exp8	-0.0616566783760974	0.094323781951701	-0.653670549466189	0.513541224371924	   
df.mm.trans1:exp2	0.830673422024396	0.0893558364010793	9.29624135905198	1.86554181292798e-19	***
df.mm.trans2:exp2	0.64013565764688	0.0755194653191974	8.47643259841982	1.39675160892461e-16	***
df.mm.trans1:exp3	0.0987647815917435	0.0893558364010793	1.10529748888961	0.269414841047605	   
df.mm.trans2:exp3	0.00234962243773155	0.0755194653191975	0.0311128055237206	0.97518854835876	   
df.mm.trans1:exp4	0.00786616168970345	0.0893558364010793	0.08803187353533	0.929876811637913	   
df.mm.trans2:exp4	-0.0953195017242424	0.0755194653191974	-1.26218454171195	0.207307607023557	   
df.mm.trans1:exp5	-0.131119238677045	0.0893558364010793	-1.46738303795298	0.142726216080994	   
df.mm.trans2:exp5	-0.0708092958580997	0.0755194653191974	-0.937629729749948	0.348761851149854	   
df.mm.trans1:exp6	-0.0403107092123358	0.0893558364010793	-0.451125643672548	0.652040327353577	   
df.mm.trans2:exp6	-0.00560147747913297	0.0755194653191974	-0.0741726315918321	0.940894457842257	   
df.mm.trans1:exp7	0.0114457639785832	0.0893558364010793	0.128091957275272	0.898113416069257	   
df.mm.trans2:exp7	-0.0778304332599501	0.0755194653191974	-1.03060095739535	0.303088052762025	   
df.mm.trans1:exp8	0.0917590300487631	0.0893558364010793	1.02689464666748	0.304828885334827	   
df.mm.trans2:exp8	-0.0670238341473112	0.0755194653191974	-0.887504087376971	0.375115919099815	   
df.mm.trans1:probe2	0.176539185585075	0.0489422072416124	3.60709488874411	0.00033192943473836	***
df.mm.trans1:probe3	0.00652802113614415	0.0489422072416124	0.133382238032653	0.893929870090411	   
df.mm.trans1:probe4	0.199630729966311	0.0489422072416124	4.07890737295104	5.05124847448191e-05	***
df.mm.trans1:probe5	0.0145012786278505	0.0489422072416124	0.296293923898083	0.767094524263566	   
df.mm.trans1:probe6	0.0350905868515642	0.0489422072416124	0.716980063410972	0.473628320730935	   
df.mm.trans1:probe7	0.36903156544554	0.0489422072416124	7.54014962226258	1.47761553435295e-13	***
df.mm.trans1:probe8	0.522278552457878	0.0489422072416124	10.6713322077926	1.02465687402340e-24	***
df.mm.trans1:probe9	0.148178740415783	0.0489422072416124	3.02762684331482	0.00255641189899529	** 
df.mm.trans1:probe10	0.252377641689036	0.0489422072416124	5.15664609164696	3.28572693749145e-07	***
df.mm.trans1:probe11	0.659919151051693	0.0489422072416124	13.4836409766703	5.84721675819504e-37	***
df.mm.trans1:probe12	0.425555291409683	0.0489422072416123	8.6950571989704	2.50437349263456e-17	***
df.mm.trans1:probe13	0.333291522540906	0.0489422072416124	6.80989970263396	2.12212302759608e-11	***
df.mm.trans1:probe14	0.212035795735059	0.0489422072416123	4.3323709265564	1.69365250116858e-05	***
df.mm.trans1:probe15	0.279972478890568	0.0489422072416124	5.72047103450875	1.58142717208302e-08	***
df.mm.trans1:probe16	2.5029559457789	0.0489422072416124	51.1410515962754	2.92763207212834e-237	***
df.mm.trans1:probe17	1.04368984369653	0.0489422072416124	21.3249443071531	6.0495887902657e-78	***
df.mm.trans1:probe18	2.6093994542337	0.0489422072416124	53.315933246572	3.02233988226809e-247	***
df.mm.trans1:probe19	2.37316717390656	0.0489422072416124	48.489173407954	9.59239354212647e-225	***
df.mm.trans1:probe20	2.23821672515149	0.0489422072416124	45.7318304853337	2.49527526131648e-211	***
df.mm.trans1:probe21	1.58901621615212	0.0489422072416124	32.4671956110938	3.23661545189458e-141	***
df.mm.trans2:probe2	-0.0478549344449251	0.0489422072416124	-0.977784557379691	0.328522585582790	   
df.mm.trans2:probe3	-0.0143770563494814	0.0489422072416124	-0.293755781763302	0.769032607611583	   
df.mm.trans2:probe4	-0.0388376750028254	0.0489422072416124	-0.793541550161314	0.427734379961842	   
df.mm.trans2:probe5	0.125602846991602	0.0489422072416124	2.56635027455015	0.0104867755112120	*  
df.mm.trans2:probe6	-0.0405757090916935	0.0489422072416124	-0.829053517986713	0.407359994422105	   
df.mm.trans3:probe2	0.0731622879785946	0.0489422072416124	1.49487103467596	0.135403962593546	   
df.mm.trans3:probe3	-0.324920481026358	0.0489422072416123	-6.63886038940433	6.39079401191517e-11	***
df.mm.trans3:probe4	0.654267665119672	0.0489422072416124	13.3681683355587	2.01385748640501e-36	***

cont.coeff:
Name	Estimate	Std-Error	t-value	Pr(>|t|)	Signif
df.mm.(Intercept)	4.42462872858214	0.396136794581126	11.1694464869408	9.52802967733617e-27	***
df.mm.trans1	0.194417998142576	0.351350484867357	0.553344897804748	0.580205987777168	   
df.mm.trans2	-0.0617428928534049	0.32019355898226	-0.192829902792722	0.847148762098911	   
df.mm.exp2	-0.3678366993869	0.431874762828101	-0.8517207557537	0.394663746431914	   
df.mm.exp3	0.404839479654837	0.431874762828100	0.937400178245599	0.348879788298686	   
df.mm.exp4	0.35963885144523	0.4318747628281	0.832738752989782	0.405279385091618	   
df.mm.exp5	0.226939493339765	0.4318747628281	0.525475236973025	0.59942119274748	   
df.mm.exp6	-0.342871012919855	0.431874762828101	-0.793913056355941	0.427518202489375	   
df.mm.exp7	-0.086459899566382	0.4318747628281	-0.200196693597481	0.84138557136126	   
df.mm.exp8	0.330153393798839	0.4318747628281	0.76446558635854	0.444850433799618	   
df.mm.trans1:exp2	0.176460385295825	0.409128322195384	0.431308163533968	0.66637864414793	   
df.mm.trans2:exp2	0.312324592817268	0.345776542233368	0.903255584661602	0.366704574497724	   
df.mm.trans1:exp3	-0.332463585289104	0.409128322195384	-0.81261444699087	0.416718613075665	   
df.mm.trans2:exp3	-0.253836994520147	0.345776542233368	-0.734107041734571	0.463132159083455	   
df.mm.trans1:exp4	-0.415333932737696	0.409128322195384	-1.01516788304709	0.310380609204249	   
df.mm.trans2:exp4	-0.411000487785934	0.345776542233368	-1.18863033660781	0.234992907266827	   
df.mm.trans1:exp5	-0.359769315225548	0.409128322195384	-0.879355683065462	0.379513704109516	   
df.mm.trans2:exp5	-0.307224262401245	0.345776542233368	-0.888505219055306	0.374577782415928	   
df.mm.trans1:exp6	0.209146476858501	0.409128322195384	0.511200191998979	0.60937394441785	   
df.mm.trans2:exp6	0.292432553081375	0.345776542233368	0.845726986546154	0.397997398584874	   
df.mm.trans1:exp7	-0.00225318020675926	0.409128322195384	-0.00550727017545176	0.995607443590697	   
df.mm.trans2:exp7	-0.0313512332453803	0.345776542233368	-0.0906690576604269	0.92778179537027	   
df.mm.trans1:exp8	-0.331557935661605	0.409128322195384	-0.810400839234164	0.417988438727788	   
df.mm.trans2:exp8	-0.311229064420721	0.345776542233368	-0.900087271422447	0.368386925934707	   
df.mm.trans1:probe2	0.0908852985477045	0.224088810980653	0.405577137698103	0.685178694679033	   
df.mm.trans1:probe3	-0.308087528282249	0.224088810980653	-1.37484565576480	0.169624288321719	   
df.mm.trans1:probe4	0.280612297912376	0.224088810980653	1.25223698891687	0.210906575717388	   
df.mm.trans1:probe5	0.152840201352207	0.224088810980653	0.682051909166509	0.495434348293201	   
df.mm.trans1:probe6	0.0839919734945596	0.224088810980653	0.374815561415117	0.7079124787523	   
df.mm.trans1:probe7	-0.309467046975452	0.224088810980653	-1.3810017805939	0.167724220839564	   
df.mm.trans1:probe8	0.0610794364360024	0.224088810980653	0.272567988418109	0.785266634254253	   
df.mm.trans1:probe9	-0.298097406408015	0.224088810980653	-1.33026457279811	0.183869346361416	   
df.mm.trans1:probe10	-0.291814871784517	0.224088810980653	-1.30222865884058	0.193271488275955	   
df.mm.trans1:probe11	-0.140321207755584	0.224088810980653	-0.626185694598107	0.531399637176075	   
df.mm.trans1:probe12	-0.101487258145754	0.224088810980653	-0.452888556557677	0.65077094933802	   
df.mm.trans1:probe13	-0.161704264686512	0.224088810980653	-0.721607937401538	0.470779299336523	   
df.mm.trans1:probe14	-0.118668529756846	0.224088810980653	-0.529560263350638	0.596586695696738	   
df.mm.trans1:probe15	-0.156155026391563	0.224088810980653	-0.696844370355666	0.486134210992647	   
df.mm.trans1:probe16	0.0950859178814262	0.224088810980653	0.424322470476384	0.671462534690497	   
df.mm.trans1:probe17	0.00179785355801766	0.224088810980653	0.00802295103512722	0.993600992205998	   
df.mm.trans1:probe18	-0.24885551707258	0.224088810980653	-1.11052183276596	0.267159948076207	   
df.mm.trans1:probe19	0.288191495822141	0.224088810980653	1.28605928408903	0.198852513659576	   
df.mm.trans1:probe20	0.0479238061172816	0.224088810980653	0.213860772019622	0.83071862809579	   
df.mm.trans1:probe21	0.0483858271397444	0.224088810980653	0.215922548421759	0.82911174981342	   
df.mm.trans2:probe2	0.153530002249403	0.224088810980653	0.68513015700127	0.49349121709451	   
df.mm.trans2:probe3	0.242652084125926	0.224088810980653	1.08283891134072	0.279257092379435	   
df.mm.trans2:probe4	0.155979692431125	0.224088810980653	0.696061939677085	0.486623749832681	   
df.mm.trans2:probe5	0.244353382875872	0.224088810980653	1.09043098495876	0.275902884941253	   
df.mm.trans2:probe6	-0.032972597299601	0.224088810980653	-0.147140757074425	0.883063778103634	   
df.mm.trans3:probe2	0.130635860959616	0.224088810980653	0.582964675424579	0.560106999837713	   
df.mm.trans3:probe3	-0.0352728458514019	0.224088810980653	-0.15740565402191	0.874971073665948	   
df.mm.trans3:probe4	0.109476972248309	0.224088810980653	0.488542786983507	0.625320204956562